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AI for students lesson 23: Design a tiny AI project · Set 347 · 40 questions
TalentJR

AI tip (Accuracy = correct ÷ total × 100): Steps: 1 choose a problem → 2 collect examples → 3 label them → 4 check and correct bad labels (clean the data) → 5 split into training and test sets → 6 train → 7 test with new examples → 8 measure accuracy → 9 improve the data and retest. Accuracy = correct ÷ total × 100. Wrong = total − correct. Expected right = accuracy ÷ 100 × total. Keep some examples apart for testing (for example one fifth); the rest are for training.

NameDateTime takenScore ___ / 40
  1. 1.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
  2. 2.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
  3. 3.📦 Tara collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  4. 4.🎯 Nisha’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
  5. 5.🎯 Arjun’s recycling sorter is 50% accurate. If it is tested on 40 new waste photos, how many should it get right?
  6. 6.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
  7. 7.🎯 Ananya’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
  8. 8.📦 Rohan collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  9. 9.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
  10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it faster (d) to make it bigger
  11. 11.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
  12. 12.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
  13. 13.📦 Meera collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  14. 14.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
  15. 15.🎯 Vihaan’s leaf identifier is 50% accurate. If it is tested on 80 new leaf photos, how many should it get right?
  16. 16.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 22 right. How many percentage points more accurate is Model A?
  17. 17.🎯 Diya’s spam spotter is 60% accurate. If it is tested on 50 new messages, how many should it get right?
  18. 18.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
  19. 19.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
  20. 20.❌ Vihaan’s recycling sorter was tested on 48 new waste photos and got 41 right. How many did it get wrong?
  21. 21.📦 Ishaan collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  22. 22.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 12 right. How many percentage points more accurate is Model A?
  23. 23.❌ Saanvi’s leaf identifier was tested on 19 new leaf photos and got 12 right. How many did it get wrong?
  24. 24.🎯 Ananya’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
  25. 25.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
  26. 26.🎯 Arjun’s handwriting reader is 80% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
  27. 27.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
  28. 28.🎯 Ishaan’s fruit sorter is 70% accurate. If it is tested on 100 new fruit photos, how many should it get right?
  29. 29.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
  30. 30.🎯 Kabir’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
  31. 31.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
  32. 32.📦 Meera collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  33. 33.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
  34. 34.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
  35. 35.🎯 Rohan’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
  36. 36.📦 Kabir collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  37. 37.🎯 Ishaan’s leaf identifier was tested on 10 new leaf photos and got 8 right. What is its accuracy in percent?
  38. 38.🎯 Diya’s handwriting reader is 90% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
  39. 39.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
  40. 40.🎯 Ishaan’s leaf identifier was tested on 20 new leaf photos and got 18 right. What is its accuracy in percent?

Answer key

  1. gather many examples
  2. train the model
  3. 32
  4. 75
  5. 20
  6. try unseen examples
  7. 50
  8. 56
  9. split train and test
  10. to see if it learned
  11. calculate percent right
  12. paper and examples
  13. 120
  14. 40
  15. 40
  16. 12
  17. 30
  18. 50
  19. recheck every label
  20. 7
  21. 128
  22. 30
  23. 7
  24. 27
  25. 10
  26. 56
  27. correct bad labels
  28. 70
  29. try unseen examples
  30. 50
  31. 4
  32. 136
  33. 2
  34. set aside test photos
  35. 50
  36. 48
  37. 80
  38. 45
  39. correct ÷ total × 100
  40. 90

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